Xuan Shi

5.0k total citations · 1 hit paper
185 papers, 3.9k citations indexed

About

Xuan Shi is a scholar working on Molecular Biology, Water Science and Technology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xuan Shi has authored 185 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 28 papers in Water Science and Technology and 27 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xuan Shi's work include Water Treatment and Disinfection (18 papers), Advanced oxidation water treatment (17 papers) and Wastewater Treatment and Nitrogen Removal (17 papers). Xuan Shi is often cited by papers focused on Water Treatment and Disinfection (18 papers), Advanced oxidation water treatment (17 papers) and Wastewater Treatment and Nitrogen Removal (17 papers). Xuan Shi collaborates with scholars based in China, United States and United Kingdom. Xuan Shi's co-authors include Pengkang Jin, Xin Jin, Xiaochang C. Wang, Xue Bai, Lu Xu, Yong Wang, Xin Lv, Juan Wei, Huanping Zhou and Tong Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Xuan Shi

170 papers receiving 3.8k citations

Hit Papers

Diversified metabolism makes novel Thauera strain highly ... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Xuan Shi
Comparison fields: 5 of 153
  • Water Science and Technology 1.1k
  • Molecular Biology 887
  • Pollution 704
  • Renewable Energy, Sustainability and the Environment 614
  • Health, Toxicology and Mutagenesis 482
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Xinhua Wang China
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Citations per field, relative to Xuan Shi
Xuan Shi · 1×
Citations per year, relative to Xuan Shi
Xuan Shi · 1×

Countries citing papers authored by Xuan Shi

Since Specialization
Citations

This map shows the geographic impact of Xuan Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xuan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan Shi more than expected).

Fields of papers citing papers by Xuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuan Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xuan Shi. The network helps show where Xuan Shi may publish in the future.

Co-authorship network of co-authors of Xuan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Shi. A scholar is included among the top collaborators of Xuan Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuan Shi. Xuan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 4
4 8
5 5
6 2
7 19
8 8
9 5
10 23
11 12
12 56
13 6
14 41
15 58
16
miR-600 inhibits lung cancer via downregulating the expression of METTL3
11
17 33
18 5
19 6
20
The relationship between Th1/Th2-type cells and disease activity in patients with systemic lupus erythematosus.
16

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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